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Publication Type : Conference Paper
Publisher : 4th International Youth Conference on Energy IYCE 2013
Source : 4th International Youth Conference on Energy IYCE 2013, Siofok, Hungary, 2013
ISBN : 9781467355568
Keywords : Anisotropic elements, Curvelet transforms, Differential current, Differential protection, Electric fault currents, Electric power system protection, Extensive simulations, High-frequency informations, MATLAB, Matlab-Simulink, Power transformers, Signal processing, Three phase power transformers, Wavelet transforms
Campus : Amritapuri, Coimbatore
School : School of Engineering
Department : Electrical and Electronics
Year : 2013
Abstract : This paper presents the analysis and development of a new digital differential protection scheme for three phase power transformers. The proposed scheme extracts the high frequency information hidden in the differential as well as the fault currents to identify internal faults. The commonly used signal processing tool, Wavelet Transform which has an impressive reputation in this field fails to represent objects with highly anisotropic elements such as lines or edges efficiently due to the limitations in directional and scaling elements. Proposed scheme applies curvelet transform to the differential current to extract the required information and identify the faults. Extensive simulation using MATLAB Simulink has been done to validate the method and the results are validated by comparing with other schemes. © 2013 IEEE.
Cite this Research Publication : G. Ravikrishnan, Kiran, P., and Dr. P. Kanakasabapathy, “Internal fault discrimination in power transformers using curvelet transform”, in 4th International Youth Conference on Energy IYCE 2013, Siofok, Hungary, 2013